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Shengxin Zha
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Exploiting Image-trained CNN Architectures for Unconstrained Video Classification
S Zha, F Luisier, W Andrews, N Srivastava, R Salakhutdinov
British Machine Vision Conference (BMVC), 60.1-60.13, 2015
2712015
Sf-net: Single-frame supervision for temporal action localization
F Ma, L Zhu, Y Yang, S Zha, G Kundu, M Feiszli, Z Shou
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1382020
Only time can tell: Discovering temporal data for temporal modeling
L Sevilla-Lara, S Zha, Z Yan, V Goswami, M Feiszli, L Torresani
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
752021
Egocom: A multi-person multi-modal egocentric communications dataset
C Northcutt, S Zha, S Lovegrove, R Newcombe
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
182020
Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives
K Grauman, A Westbury, L Torresani, K Kitani, J Malik, T Afouras, ...
arXiv preprint arXiv:2311.18259, 2023
132023
Hierarchical bilevel image compression based on cutset sampling
S Zha, TN Pappas, DL Neuhoff
2012 19th IEEE International Conference on Image Processing, 2517-2520, 2012
132012
Text classification via iVector based feature representation
S Zha, X Peng, H Cao, X Zhuang, P Natarajan, P Natarajan
2014 11th IAPR International Workshop on Document Analysis Systems, 151-155, 2014
72014
Hierarchical lossy bilevel image compression based on cutset sampling
S Zha, TN Pappas, DL Neuhoff
IEEE Transactions on Image Processing 30, 1527-1541, 2020
62020
Pattern-based k-level cutset reconstruction
S Zha, TN Pappas
2015 IEEE International Conference on Image Processing (ICIP), 3344-3348, 2015
32015
A Markov chain based line segmentation framework for handwritten character recognition
Y Wu, S Zha, H Cao, D Liu, P Natarajan
Document Recognition and Retrieval XXI 9021, 99-110, 2014
32014
Generalized k-level cutset sampling and reconstruction
S Zha, TN Pappas
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
22016
A hybrid Markov random field model for bilevel cutset reconstruction
S Zha, TN Pappas
2016 IEEE International Conference on Image Processing (ICIP), 3523-3527, 2016
12016
Pattern-Based Reconstruction of K-Level Images From Cutsets
S Zha, D Tian, TN Pappas
IEEE Transactions on Image Processing 31, 5529-5542, 2022
2022
Cutset-based Image Segmentation, Reconstruction, and Compression
S Zha
Northwestern University, 2016
2016
A MARKOV RANDOM FIELD MODEL FOR BILEVEL CUTSET RECONSTRUCTION
S Zha, TN Pappas
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Articles 1–15